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Causal Inference Phd Internship Jobs (NOW HIRING)

Instacart

OR

Overview We are looking for interns to join Instacart's Economics team. The ideal candidate for ... Expertise in causal inference with observational and experimental data. * Expertise in Python or R ...

Alembic

Research Engineer - Causal AI

San Francisco, CA · On-site

$200K - $250K/yr

Build production systems for causal inference that maintain statistical rigor at enterprise scale ... MS or PhD with significant applied research experience * Background in econometrics, statistics, or ...

YO AI Labs

Data Scientist

Glendale, CA

... PhD + 3 years of relevant experience with an emphasis on experimentation or causal inference. * Experience with ETL and data engineering: data extraction, transformation, integration, and quality ...

New

YO AI Labs

Data Scientist

Glendale, CA

... PhD + 3 years of relevant experience with an emphasis on experimentation or causal inference. * Experience with ETL and data engineering: data extraction, transformation, integration, and quality ...

New

Roku

Senior Research Data Scientist

Boston, NY · On-site

$330K - $375K/yr

PhD in Economics, Econometrics, Statistics, or a closely related quantitative field with a strong emphasis on causal inference * 10+ years of experience applying causal inference and machine learning ...

Apple

Applied Scientist

Austin, TX

$175K - $308K/yr

You will be at the forefront of designing, developing, and deploying cutting-edge Causal Inference ... PhD in related field Hands-on experience leveraging Generative AI to improve productivity and ...

Apple

Applied Scientist

Austin, TX

$175K - $308K/yr

You will be at the forefront of designing, developing, and deploying cutting-edge Causal Inference ... PhD in related field Hands-on experience leveraging Generative AI to improve productivity and ...

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How much do causal inference phd internship jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for causal inference phd internship in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What types of projects do Causal Inference PhD interns typically work on during their internship?

Causal Inference PhD interns often engage in projects that involve designing and analyzing experiments or observational studies to draw valid conclusions about cause-and-effect relationships. These projects might include developing statistical models, collaborating with data scientists and product teams, and presenting findings to inform business or policy decisions. Interns usually have the opportunity to work with large-scale, real-world data, and are encouraged to publish or present their work at conferences, supporting both professional growth and academic development.

What are the key skills and qualifications needed to thrive as a Causal Inference PhD Intern, and why are they important?

To thrive as a Causal Inference PhD Intern, you need a strong background in statistics, econometrics, and causal inference methods, often supported by advanced graduate studies in a related field. Familiarity with statistical programming languages such as R or Python, and experience using data analysis tools and frameworks like Stata or TensorFlow Probability, are typically required. Excellent problem-solving abilities, critical thinking, and the ability to communicate complex concepts clearly help you stand out in this role. These skills and qualities are crucial for designing robust experiments, drawing reliable conclusions, and effectively collaborating with interdisciplinary research teams.

What is the difference between Causal Inference Phd Internship vs Data Scientist Internship?

AspectCausal Inference Phd InternshipData Scientist Internship
Required CredentialsPhD in statistics, economics, or related fieldBachelor's or Master's in CS, statistics, or related field
Work EnvironmentResearch-focused, academic or industry research teamsData analysis, modeling, and business insights
Employer & Industry UsageResearch institutions, tech companies, financeTech firms, startups, finance, healthcare
Search & Comparison IntentFocus on causal inference research rolesBroader data analysis roles

While a Causal Inference Phd Internship emphasizes research in causal analysis with advanced credentials, a Data Scientist Internship covers broader data analysis skills suitable for various industries. Both roles involve working with data, but their focus, required background, and career paths differ significantly.

What is a Causal Inference PhD Internship?

A Causal Inference PhD Internship is a specialized research position for doctoral students focused on causal inference, which involves determining cause-and-effect relationships from data. Interns typically work with large datasets, advanced statistical models, and machine learning techniques to answer questions about how variables influence one another. These internships are often offered by tech companies, research labs, or policy organizations and provide hands-on experience in designing experiments, analyzing observational data, and developing new methodologies. The goal is to bridge academic research with real-world applications, contributing to projects that require rigorous causal analysis.
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Causal Inference Phd Internship jobs near you
Postdoctoral Fellowship Opening: Applied Causal Inference for the Social and Behavioral Sciences

Postdoctoral Fellowship Opening: Applied Causal Inference for the Social and Behavioral Sciences

Johns Hopkins University

Baltimore, MD • On-site

$48K - $66K/yr

Full-time

Re-posted 10 hours ago

Johns Hopkins Medicine rating

7.5

Company rating: 7.5 out of 10

Based on 204 frontline employees who took The Breakroom Quiz

230th of 880 rated healthcare providers

Job description

Description
Postdoctoral fellowship opening to work on applied causal inference under the direction of Dr. Elizabeth Stuart, in collaboration with Dr. Beth McGinty and colleagues at Johns Hopkins and Weill Cornell. Projects will include policy evaluation methods and application, and methods of relevance for implementation science and the work of the ALACRITY Center for Health and Longevity in Mental Illness. Strong candidates also have a strong interest in teaching causal inference topics to broad audiences, including potential development of short courses and other trainings to introduce causal inference topics to individuals without a methodological background. Work will include methods development as well as applications of advanced statistical methods in public health and medicine, and will involve collaboration with other faculty in Biostatistics and the School of Public Health. A key focus of the work will be collaboration with researchers at Weill Cornell conducting evaluations of mental health policies and services.
Responsibilities will include statistical collaboration, methods development, methodological literature reviews, simulation studies, educational activities, data management and analyses, manuscript writing for journal publications, and presentations at scientific meetings. Individuals with training in quantitative methods, including Statistics, Biostatistics, Economics, Epidemiology, and Health Policy are welcome to apply. Knowledge of causal inference methods and experience with statistical software such as Stata or R is required. Applicants will join a collegial and interdisciplinary team, and communication and collaboration skills are highly valued.
Successful candidates will receive competitive salaries (in the range $65,000-$75,000), as well as computing resources, travel support, and other benefits in accordance with departmental and university policies. Application review will begin February 1, and applications will be considered until the position is filled. The position can start any time from April to September 2026. The initial appointment is for one year, with reappointment for a second year provided satisfactory performance.
Qualifications
PhD in biostatistics, statistics, economics, health policy, health economics, or other quantitative field
Application Instructions
Interested applicants should submit the following materials via Interfolio:
• Cover letter
• Curriculum vitae
• 2 reference letters
Questions about the position can be directed to Dr. Stuart (https://www.elizabethstuart.org/; estuart@jhu.edu).

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